Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Ray4
learning lidia
nah i'd lose
Ray4 vs Jin 79–69 53.38%
Ray4 vs Kazuya 68–66–1 50.75%
Ray4 vs King 59–54 52.21%
Ray4 vs Dragunov 56–49 53.33%
Ray4 vs Bryan 39–53 42.39%
Ray4 vs Reina 44–43 50.57%
Ray4 vs Steve 42–31 57.53%
Ray4 vs Hwoarang 39–33 54.17%
Ray4 vs Law 23–45 33.82%
Ray4 vs Yoshimitsu 27–25 51.92%
Ray4 vs Devil Jin 26–26 50.00%
Ray4 vs Paul 20–26 43.48%
Ray4 vs Feng 14–25 35.90%
Ray4 vs Lili 23–16 58.97%
Ray4 vs Alisa 16–21 43.24%
Ray4 vs Lee 20–17 54.05%
Ray4 vs Asuka 18–16–1 52.94%
Ray4 vs Nina 13–21 38.24%
Ray4 vs Lidia 17–16 51.52%
Ray4 vs Heihachi 15–18 45.45%
Ray4 vs Jun 15–17 46.88%
Ray4 vs Lars 17–13 56.67%
Ray4 vs Leo 13–15 46.43%
Ray4 vs Claudio 16–10 61.54%
Ray4 vs Victor 10–14 41.67%
Ray4 vs Xiaoyu 9–13 40.91%
Ray4 vs Azucena 13–9 59.09%
Ray4 vs Kuma 13–6 68.42%
Ray4 vs Jack-8 10–5 66.67%
Ray4 vs Panda 5–8 38.46%
Ray4 vs Eddy 4–8 33.33%
Ray4 vs Raven 3–7 30.00%
Ray4 vs Leroy 4–4 50.00%
Ray4 vs Zafina 2–5 28.57%
Ray4 vs Shaheen 2–3 40.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.